∞ Performance and stability analysis of linear systems with interval time-varying delays and stochastic parameter uncertainties

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Abstract

This paper deals with the problems of ∞ performance and stability analysis for linear systems with interval time-varying delays. It is assumed that the parameter uncertainties are of stochastic properties to represent random change of various environments. By constructing a newly augmented Lyapunov-Krasovskii functional, less conservative criteria of the concerned systems are introduced with the framework of linear matrix inequalities (LMIs). Four numerical examples are given to show the improvements over the existing ones and the effectiveness of the proposed methods.

Figures

  • Table 1: MADBs with fixed unknown 𝑑 𝑀 , fixed ℎ 𝑚 = 0 and 𝛾 = 1 (Example 1).
  • Figure 1: Effect of 𝜌 0 and 𝜎2 (Example 1).
  • Table 2: MADBs with fixed unknown 𝑑 𝑀 and 𝛾 = 1 (Example 2).
  • Table 3: MinimizedH ∞ performance 𝛾 with various ordered pair (ℎ 𝑚 , ℎ 𝑀 ) and unknown 𝑑 𝑀 (Example 3).
  • Figure 2: State trajectories with various 𝜌 0 and fixed 𝜎2 = 0.2 (Example 1).
  • Figure 3: State trajectories with various 𝜎2 and fixed 𝜌 0 = 1.0 (Example 1).
  • Table 4: MADBs with various ℎ 𝑚 and fixed 𝑑 𝑀 = 0.3 (Example 4).

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APA

Park, M. J., Kwon, O. M., Park, J. H., Lee, S. M., & Cha, E. J. (2015). ∞ Performance and stability analysis of linear systems with interval time-varying delays and stochastic parameter uncertainties. Mathematical Problems in Engineering, 2015. https://doi.org/10.1155/2015/821086

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